41554 blogs · [ { "id": "01a087a0-e9b9-7164-b521-1f32119bff54", "title": "Fast approximate inference without convergence worries in PyMC", "url": "https://martiningram.github.io/deterministic-advi-in-pymc/", "published_at": "2025-09-04T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f3211bceb55", "title": "How to forget in an online linear regression", "url": "https://martiningram.github.io/forgetting/", "published_at": "2022-12-03T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f321220093e", "title": "Deriving the objective in Hensman et al. 2015", "url": "https://martiningram.github.io/scalable-gp/", "published_at": "2022-10-29T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f321306262f", "title": "MCMC for big datasets – faster sampling with JAX and the GPU", "url": "https://martiningram.github.io/mcmc-comparison/", "published_at": "2021-12-21T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f3213da8d24", "title": "A first model to rate Formula 1 drivers", "url": "https://martiningram.github.io/f1-model/", "published_at": "2021-11-17T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f321476256a", "title": "Surface-adjusted French Open seedings", "url": "https://martiningram.github.io/quick-fo-preview/", "published_at": "2021-05-29T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f32151df395", "title": "Rally lengths on the log scale", "url": "https://martiningram.github.io/gp-random-effects-log-scale/", "published_at": "2021-03-20T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f3215b9f2ab", "title": "Random effects in Gaussian Processes (featuring rally lengths)", "url": "https://martiningram.github.io/gp-random-effects/", "published_at": "2021-03-13T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f3215e47380", "title": "Rating the ATP’s best forehands and backhands since 1990", "url": "https://martiningram.github.io/shot-ratings/", "published_at": "2021-02-22T00:00:00+00:00" }, { "id": "01a087a0-e9b9-7164-b521-1f3216008c51", "title": "Tracking the depth and skill of ATP tennis with an adaptive Elo rating", "url": "https://martiningram.github.io/elo-dynamic/", "published_at": "2020-12-13T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-794499c4e5e0", "title": null, "url": "https://martiningram.github.io/vi-with-good-covariances/", "published_at": "2020-11-10T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-794498e1eb76", "title": null, "url": "https://martiningram.github.io/deterministic-advi/", "published_at": "2020-10-30T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-79449857172a", "title": null, "url": "https://martiningram.github.io/us-open-ratings/", "published_at": "2020-09-01T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-7944977c5a93", "title": null, "url": "https://martiningram.github.io/first-serve-noisy/", "published_at": "2020-08-16T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-794496e27d7e", "title": null, "url": "https://martiningram.github.io/uts-format/", "published_at": "2020-06-21T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-794496646cf3", "title": null, "url": "https://martiningram.github.io/surface-serve-return/", "published_at": "2020-04-25T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-7944963a541c", "title": null, "url": "https://martiningram.github.io/historical-serve-return/", "published_at": "2020-04-12T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-794495dee893", "title": null, "url": "https://martiningram.github.io/Best-Five-Setters/", "published_at": "2020-03-29T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-7944951c36b9", "title": null, "url": "https://martiningram.github.io/LDA-Tennis/", "published_at": "2020-03-23T00:00:00+00:00" }, { "id": "01a0d82f-2f68-7346-b1d4-79449ecd8b1d", "title": null, "url": "https://martiningram.github.io/404/", "published_at": null }, { "id": "01a0d82f-2f68-7346-b1d4-79449fa42265", "title": null, "url": "https://martiningram.github.io/about/", "published_at": null }, { "id": "01a0d82f-2f68-7346-b1d4-7944a053bfab", "title": null, "url": "https://martiningram.github.io/", "published_at": null } ] posts Claim your blog

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2025

Fast approximate inference without convergence worries in PyMC original ↗

4 Sept 2025

2022

How to forget in an online linear regression original ↗

3 Dec 2022

Deriving the objective in Hensman et al. 2015 original ↗

29 Oct 2022

2021

MCMC for big datasets – faster sampling with JAX and the GPU original ↗

21 Dec 2021

A first model to rate Formula 1 drivers original ↗

17 Nov 2021

Surface-adjusted French Open seedings original ↗

29 May 2021

Rally lengths on the log scale original ↗

20 Mar 2021

Random effects in Gaussian Processes (featuring rally lengths)original ↗

13 Mar 2021

Rating the ATP’s best forehands and backhands since 1990 original ↗

22 Feb 2021

2020

Tracking the depth and skill of ATP tennis with an adaptive Elo rating original ↗

13 Dec 2020

https://martiningram.github.io/vi-with-good-covariances/original ↗

10 Nov 2020

https://martiningram.github.io/deterministic-advi/original ↗

30 Oct 2020

https://martiningram.github.io/us-open-ratings/original ↗

1 Sept 2020

https://martiningram.github.io/first-serve-noisy/original ↗

16 Aug 2020

https://martiningram.github.io/uts-format/original ↗

21 Jun 2020

https://martiningram.github.io/surface-serve-return/original ↗

25 Apr 2020

https://martiningram.github.io/historical-serve-return/original ↗

12 Apr 2020

https://martiningram.github.io/Best-Five-Setters/original ↗

29 Mar 2020

https://martiningram.github.io/LDA-Tennis/original ↗

23 Mar 2020

Undated

https://martiningram.github.io/404/original ↗

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https://martiningram.github.io/about/original ↗

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https://martiningram.github.io/original ↗

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